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Revolutionising Game Development: Unity’s AI Tools for a New Era

Unity’s AI tools, Unity Muse and Unity Sentis, enhance workflows and empower developers in the new era of game development.

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Unity AI Tools

TL;DR:

  • Unity’s upcoming release, Unity 6, will feature AI tools designed to enhance workflows and empower developers.
  • Unity Muse and Unity Sentis are two key AI tools that cater to developers of all skill levels and project scales.
  • Unity prioritises ethical considerations in AI development, ensuring responsible sourcing and transparent practices.

Unity’s AI Vision: Empowering and Responsible

Unity, the renowned game engine creator, is set to transform video game development with its upcoming release, Unity 6. The platform developer aims to integrate Artificial Intelligence (AI) tools seamlessly into its ecosystem, focusing on enhancing workflows and enabling developers to achieve more in less time.

Unity’s AI Tools: A Game Changer

Unity’s director of AI research, Nico Perony, shared insights into Unity’s approach to AI integration. Unity AI, comprising Unity Muse and Unity Sentis, is designed to work harmoniously with the Unity Editor, Runtime, data, and the Unity Network.

Prompt: Try Unity Muse Chat Unity Muse Chat is a tool that allows developers to use natural language prompts to find what they need quickly. It provides well-structured answers, instructions, and even project-ready code in seconds.

Unity 6 AI features

Unity Muse also offers Sprite and Texture tools, enabling developers to produce and modify 2D art and generate production-quality textures for 2D and 3D projects directly in the Editor.

Unity Sentis, on the other hand, allows developers to embed complex AI data models into the Unity Runtime, helping solve complicated tasks and create new functionality in a game using AI models.

AI for All: Accessibility and Scalability

Unity’s AI tools cater to developers of all skill levels, from beginners to advanced users. The tools are fully integrated with the Unity Editor, making it easy for beginners to use AI while building a project. More advanced users can train their own models and embed them as ONNX files in their build with Unity Sentis.

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These tools adapt to different project scales, from indie games to large-scale AAA productions. Tools like Muse Sprite, Muse Texture, or Muse Animate make prototyping easier, while Muse Chat and Unity Sentis enable production teams to write and audit functional and performant code efficiently.

Ethical Considerations

Unity is committed to managing its AI development transparently and responsibly. The company has released blog posts detailing its approach to responsible AI and ethical dataset curation for training models powering Muse Texture and Muse Sprite.

AI and Job Displacement

Unity’s AI tools are designed to assist creators when they are stuck or need more iterations, keeping the creator in control and at the centre of creativity. The goal is not to replace human creativity but to provide additional tools that creators can use if they choose.

Preview Unity 6

Developers can preview Unity 6 on the Unity Blog. For those interested in game development, check out our guide to the best laptops for programming and draw inspiration from the best indie games.

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What are your thoughts on the integration of AI in game development? Have you tried Unity’s AI tools? Share your experiences and subscribe for updates on AI and AGI developments in the comments below. We’d love to hear from you!

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  • For the official preview of Unity 6 tap here.


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MarioVGG Simulates Super Mario Bros. from Video Footage

MarioVGG, a new AI model, simulates Super Mario Bros. from video footage, showcasing the potential for AI to revolutionise gaming.

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AI gaming revolution

TL;DR:

  • MarioVGG is a new AI model that can generate plausible video of Super Mario Bros. from user inputs.
  • The model was trained on over 737,000 frames of Mario gameplay.
  • Despite limitations, MarioVGG shows potential for AI to replace game engines in the future.

The Future of Gaming: AI-Generated Video

Imagine playing your favourite video game without a traditional game engine. Instead, an AI model generates the gameplay based on video footage. This is the fascinating concept behind MarioVGG, a new AI model that simulates Super Mario Bros. from video data. Developed by researchers from Virtuals Protocol, MarioVGG represents a significant step towards AI-generated video games.

Training MarioVGG: A Massive Undertaking

To train MarioVGG, the researchers used a public dataset containing 280 levels of Super Mario Bros. gameplay. This dataset included over 737,000 individual frames, which were preprocessed into 35-frame chunks. The model focused on two inputs: “run right” and “run right and jump.” Even with these limitations, training the model took about 48 hours on a single RTX 4090 graphics card.

How MarioVGG Works

MarioVGG uses a standard convolution and denoising process to generate new frames of video from a static starting game image and a text input. The model can create gameplay videos of any length by using the last frame of one sequence as the first frame of the next. This results in “coherent and consistent gameplay,” according to the researchers.

Challenges and Limitations

Despite its impressive capabilities, MarioVGG has several limitations. The model downscales the output frames to a resolution of 64×48, much lower than the NES’s 256×240 resolution. It also condenses 35 frames of video into just seven generated frames, resulting in rougher-looking gameplay. Additionally, MarioVGG struggles to approach real-time video generation, taking six seconds to generate a six-frame video sequence.

Impressive Results Despite Limitations

Even with these limitations, MarioVGG can create passably believable video of Mario running and jumping. The model can infer game physics, such as Mario falling when he runs off a cliff and halting his forward motion when adjacent to an obstacle. MarioVGG can also hallucinate new obstacles for Mario, although these can’t be influenced by user prompts.

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The Future of AI in Gaming

The researchers hope that MarioVGG represents a first step towards “producing and demonstrating a reliable and controllable video game generator.” They even suggest that AI models like MarioVGG could one day replace game development and game engines completely.

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AI Showdown: Video Game Performers Strike for AI Protections

Video game performers strike for AI protections, highlighting the evolving landscape of the gaming industry.

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AI protections in gaming

TL;DR:

  • Over 2,600 video game performers represented by SAG-AFTRA are on strike, primarily over AI protections.
  • The strike, which began on July 26, 2024, affects major gaming companies like Activision, Disney, and Electronic Arts.
  • Performers demand consent and fair compensation for AI-generated use of their voices, faces, and bodies.

In a groundbreaking move, video game performers represented by SAG-AFTRA have initiated a strike against major gaming companies. The primary concern? Artificial Intelligence (AI) protections. This strike, which began on July 26, 2024, affects over 2,600 voice and motion-capture actors in the video game industry.

Timing and Scope

The walkout commenced at 12:01 AM on July 26, 2024. This labor action, authorized by an overwhelming 98.32% of SAG-AFTRA members, encompasses a wide range of roles. These include off-camera and on-camera performers, stunt coordinators, singers, and puppeteers. The strike affects all 160,000 SAG-AFTRA members, as the union has declared that every member is covered by the strike order.

Main Issues: AI Protections

At the heart of the strike lies the demand for robust AI protections. Performers are seeking consent and fair compensation for any AI-generated use of their voices, faces, and bodies. This concern stems from the potential for gaming companies to replicate performers’ work without proper authorization or remuneration. Additional issues include:

  • Wage increases to keep pace with inflation.
  • Enhanced safety measures for on-camera performances.
  • Improved rest periods to prevent vocal strain.
  • Presence of set medics for hazardous jobs.

The union argues that unregulated AI use could provide game developers with a means to replace actors, particularly in background roles that often serve as stepping stones to larger parts.

Companies and Union Stance

Major gaming companies targeted by the strike include Activision, Disney, Electronic Arts, Warner Bros., and Take-Two Interactive. SAG-AFTRA argues that AI poses an “equal or even greater danger” to video game performers compared to film and TV actors. The union claims that companies have not offered sufficient AI protections in contract negotiations.

In response, gaming companies express disappointment in the decision to strike. They state they’ve reached agreements on 24 out of 25 proposals and offered “meaningful AI protections” that include requiring consent and fair compensation.

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Historical Strikes in the Gaming Industry

The current SAG-AFTRA strike against video game companies is not without precedent in the gaming industry. In 2016, video game voice actors initiated a strike that lasted nearly a year, marking the first such action in the industry’s history. That strike, which also involved SAG-AFTRA members, focused on issues such as vocal stress, workplace safety, and compensation structures.

The resolution of the 2016-2017 strike led to some improvements in working conditions and pay for voice actors. However, certain issues remained unresolved, particularly those related to residual payments. This historical context underscores the ongoing challenges faced by performers in the video game industry. It highlights the evolving nature of labor relations in this rapidly changing technological landscape.

Potential Impacts and Context

Extended negotiations and a prolonged strike could potentially delay game development and releases. This would affect voice acting, motion capture, and other performance aspects of upcoming titles. This labor action follows the 2023 Hollywood writers’ and actors’ strikes, which also centered on AI concerns. It echoes a previous video game performers’ strike in 2016-2017.

The current dispute highlights the evolving landscape of the gaming industry. AI technology is increasingly intersecting with creative performances. As the $200 billion industry grapples with these challenges, the outcome of this strike may set important precedents for how AI is used and regulated in interactive entertainment.

The Role of AI in the Gaming Industry

AI has revolutionised the gaming industry in numerous ways. From creating more realistic characters to generating complex game environments, AI is integral to modern game development. However, the use of AI also raises ethical and legal questions, particularly regarding the rights of performers whose work is being replicated.

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For more information about AI and the gaming industry tap here.

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Securing the Sound: Sony Music Group’s Stand Against Unauthorised AI Use

Sony’s warning to AI companies marks a significant step in the music industry’s fight against unauthorised use of content for AI training.

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AI in Music Industry

TL;DR:

  • Sony Music Group issues warnings to over 700 AI companies against unauthorised use of content.
  • The music industry grapples with AI’s rapid proliferation and potential copyright infringement.
  • Artists and music executives push for legislation to protect intellectual property rights.

Sony Music Group’s Warning to AI Companies

Sony Music Group (SMG), a global powerhouse in the music industry, has issued formal warnings to over 700 generative AI companies and streaming platforms. The warning? Do not use SMG’s content to train AI models without explicit permission. This covers a broad spectrum of content, including audio recordings, musical compositions, cover artwork, and metadata.

The Impact of AI on the Music Industry

AI’s rapid proliferation in the music industry has sparked concerns over copyright infringement. With AI tools making it easier for anyone to scrape copyrighted content to produce AI-generated music, the industry is grappling with this new reality.

Sony’s Stance on AI Innovation

Sony recognises the potential of AI but insists on respect for songwriters’ and recording artists’ rights, including copyrights. In a letter to the companies, SMG stated that unauthorised use of their content for AI training deprives them of control and appropriate compensation, infringing on their intellectual property rights.

The Call for Confirmation

SMG has asked these companies to confirm whether they have used SMG’s content without permission. If they have, the companies must provide details about how the content was used in AI training.

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The EU’s Artificial Intelligence Act

The European Union’s Artificial Intelligence Act, passed in March, includes a clause requiring AI model providers to make public a detailed summary of the content used to train their models. This law could set a precedent for AI regulation globally.

AI-generated music has already led to copyright claims. Last year, a viral song called “heart on my sleeve” featuring AI-generated vocals resembling Drake and The Weeknd was taken down due to a copyright claim by Universal Music Group.

Artists and Executives Advocate for Protection

Artists and music executives are pushing for protection against AI misuse. Warner Music Group CEO Robert Kyncl testified before the Senate Judiciary subcommittee, advocating for legislation to protect against nonconsensual deepfakes. Over 200 artists signed an open letter calling on AI developers and tech companies not to use AI in ways that undermine human artistry.

The Future of AI in Music

The future of AI in music is uncertain, but one thing is clear: the industry is taking a stand to protect intellectual property rights. As AI continues to evolve, so too will the ways in which we protect and respect the rights of artists and creators.

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